indycarpy 0.2.0

A Python package to scrape Indycar session data

IndyCarPy

IndyCarPy is a Python package designed to scrape IndyCar session data from the official IndyCar website. It provides functionalities to retrieve information about races, practices, qualifications, and warm-up sessions, as well as the records associated with these sessions.

Features

• Session Data Retrieval: Fetch data about IndyCar sessions including races, practices, qualifications, and warm-ups.
• Data Cleaning and Preparation: Clean and prepare the retrieved data for further analysis or storage.
• Export to CSV: Option to export the data to CSV format for easy integration with other tools or databases.

Installation

You can install IndyCarPy using pip:

pip install indycarpy

Make sure you have the required dependencies installed: pandas, requests, tqdm, and numpy.

Usage

The

import indycarpy

# Retrieve race session data between specific years
indycarpy.get_sessions_records(from_year=1996, to_year=2024, session_type="R", data_format="df")

# Clean session records data
cleaned_data = indycarpy.clean_sessions_records(sessions_df)

Data Files

This package includes a data/race_track.csv file containing information about the track names for each event, which is utilized during data retrieval.

Contributing

Contributions to IndyCarPy are welcome! If you encounter any issues or have suggestions for improvements, feel free to open an issue or submit a pull request on GitHub.

License

IndyCarPy is licensed under the GNU General Public License v3.0. See the LICENSE file for more details.